An IoT Enabled Enzyme Embossed Biosensor for Determination of Vitamin D Level in Human Blood Sample

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Abstract

Biosensors are the state-of-the-art devices which enact in a perfect synchronization with biorecognition material, target analyte, and a close contact transducer for the detection of biomolecules. Electrochemical enzyme-based biosensors are one of the most successful group of sensors where nanomaterials are integrated to increase sensitivity, stability, response rate, limit of detection, and other analytical parameters. This has led to the development of precise and sensitive analytical device, using biological sensing element as biosensor. Not only that, it’s imperative utilization in the field of drug discovery, biomedicine, food safety standards, defense, security, and environmental monitoring, the electrochemical sensor has gained paramount importance. The present study provides a highlight on a point of care system for measuring vitamin D3, the biomarker for cardiovascular disease, obesity, and diabetes, from serum samples, comprising a three-electrode system biosensor. An enzyme responsive to the select biomarker is immobilized on the working electrode surface, enabling a change in current flow between the working electrode and the auxiliary electrode. This change helps the device, in detecting the physiological range of the said biomarker, present in the medium. The process for the estimation of 25-Hydroxyvitamin D3 in a serum sample involves; the use of anti-VD3 1 A hydroxylase enzyme antibody, for estimation of the sample analyte, vitamin D3. The electrode system is coated with a redox mediator along with a linker molecule, to immobilize the anti-Vit D3 antibody on the electrode surface. Advantageously, the said system provides a cost-effective and high fidelity point of care detection device, finding it’s application in health care.

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Ghosh, M., & Koley, C. (2021). An IoT Enabled Enzyme Embossed Biosensor for Determination of Vitamin D Level in Human Blood Sample. In Studies in Systems, Decision and Control (Vol. 327, pp. 95–109). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-15-9612-4_4

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